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Hadoop Engineer Jobs (NOW HIRING)

Apache, Hive, Spark and Hadoop SQL Experience is a MUST 0-2 yrs of experience we need, its a Jr-Mid level Hadoop Developer role The main function of a Hadoop Developer is to design, develop, code ...

Company Description Jobsbridge Hadoop developer with sold experience in implementing or running Hadoop for large scale systems. 3-4 years of solid Hadoop experience. Familiar with Hadoop tools ...

Hadoop Developer Location: Charlotte, NC - Hybrid Duration: 12 months Develops, enhances, debugs, supports, maintains and tests software applications that support business units or supporting ...

Skill Hadoop Developer Location Irvine, CA Total Experience 1 yrs. Max Salary Not Mentioned Employment Type Contract Jobs (Temp/Consulting) Job Duration 6 months Domain Any Description OPT and EAD ...

Hadoop Developer Location: Redmond WA Duration: 12 + Months Client: Wipro The Hadoop Developer will assist with a commercial project to develop, integrate, test, and maintain the existing and the new ...

... data engineer. * Advanced knowledge of the Hadoop ecosystem and its components. * In-depth knowledge of Hive, HBase, and Pig. * Familiarity with MapReduce and Pig Latin Scripts. * Knowledge of ...

Hadoop Developer Job Location: -Durham, NC Duration: 6+ Months Overview: Responsibilities Design, implement and deploy custom applications on Hadoop. Troubleshoot production issues with Hadoop ...

Hadoop Developer Location: Redmond WA Duration: 12 + Months Client: Wipro The Hadoop Developer will assist with a commercial project to develop, integrate, test, and maintain the existing and the new ...

Skill Hadoop Developer Location Irvine, CA Total Experience 1 yrs. Max Salary Not Mentioned Employment Type Contract Jobs (Temp/Consulting) Job Duration 6 months Domain Any Description OPT and EAD ...

Hadoop Developer Location: Plano, TX Duration: Full-Time * Proven Understanding of Cloudera Hadoop and Apache ecosystem namely YARN, Impala, Hive, Flume, HBase, Sqoop, Apache Spark, Apache Storm ...

Hiring Alert | Hadoop Developer Location: Charlotte, NC (Onsite) Employment Type: Full-Time Experience Required: 10-15 Years Visa Type: USC / GC Only Must-Have Skills: * PySpark * Apache Spark

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How much do hadoop engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for hadoop engineer in the United States is $63.20, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $73.80 per hour, depending on experience, location, and employer.

What is the salary of a Hadoop engineer?

The salary of a Hadoop engineer varies based on experience, location, and certifications, but typically ranges from $80,000 to $150,000 annually. Senior roles with advanced skills in big data tools and cloud platforms tend to offer higher compensation.

What is a Hadoop engineer?

A Hadoop Engineer is responsible for designing, developing, and maintaining big data solutions using the Hadoop ecosystem. They handle tasks such as data ingestion, storage, processing, and analysis using tools like HDFS, MapReduce, Hive, Spark, and HBase. Hadoop Engineers also optimize performance, ensure data security, and troubleshoot system issues. Their role is crucial in managing large-scale data processing pipelines for organizations that rely on big data analytics.

What are the common challenges Hadoop engineers face in their daily work, and how can they prepare for them?

Hadoop Engineers often encounter challenges such as optimizing the performance of large-scale data processing jobs, troubleshooting complex issues within distributed systems, and ensuring data security and reliability. Staying up-to-date with evolving data processing frameworks, maintaining efficient cluster management, and balancing resource utilization are also common hurdles. Preparing for these challenges involves continual learning, hands-on experience with various Hadoop ecosystem tools, and proactive communication with team members to resolve issues quickly. By cultivating resilience and problem-solving skills, engineers can turn these challenges into opportunities for professional growth and innovation.

What are the key skills and qualifications needed to thrive as a Hadoop engineer?

To thrive as a Hadoop Engineer, you need a solid understanding of distributed computing, big data frameworks, and programming skills in languages such as Java, Python, or Scala, often supported by a bachelor's degree in computer science or a related field. Familiarity with Hadoop ecosystem tools like Hive, Pig, HBase, Spark, and experience with cloud platforms or Hadoop certifications (e.g., Cloudera, Hortonworks) are highly valued. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help in diagnosing issues and collaborating with cross-functional teams. These competencies are vital to efficiently manage and optimize large-scale data processing systems, ensuring robust data solutions for business needs.

Is anyone using Hadoop Engineer anymore?

Hadoop Engineer roles are still in demand in organizations that handle large-scale data processing and storage. Skills in Hadoop ecosystem components like HDFS, MapReduce, and related tools such as Spark are valuable, though some companies are shifting toward cloud-based data solutions. The role often requires knowledge of distributed systems and data architecture.
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Infographic showing various Hadoop Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $131,458 per year, or $63.2 per hour.

Full-time

Re-posted 27 days ago


Job description

Role: Java Hadoop Developer
Location: Remote
Duration: Long Term Contract
Client : Verizon
Requirements:
  • Bachelor's degree in software engineering or computer science.
  • Previous experience as a hadoop developer or big data engineer.
  • Working experience Micro services, Spring Boot , HTML, CSS
  • Advanced knowledge of the hadoop ecosystem and its components.
  • In-depth knowledge of Hive, Scala, Kafka, HBase, and Pig.